The global mobile BI market is foreseen to progress from USD 17.27 billion in 2024 to USD 47.05 billion in 2029, growing at a CAGR of 22.2% during the forecast period.
Mobile business intelligence solutions are being implemented to keep up with your competitors and try to gain an advantage over the competition. Profile reports in the cloud and local providers of business intelligence software and services for data management for SMBs and large organizations are widely deployed to apply analytics and modelling to large volumes of business data and produce meaningful and visual reports that summarize business information. IoT integration enables mobile devices to communicate, analyse and share data about the physical world through networks and cloud-based software platforms. A personalized offer at the best price in real-time and providing location-based services directly in the retail store is a crucial market driver. The growing adoption of the Enterprise Mobile Application Platform is increasing the market as it involves both a mobile client application and a mobile middleware server where the middleware server helps manage data.
Customers use mobile as the primary platform in the retail industry, especially the e-commerce business, which will likely be the primary source of demand for mobile analytics solutions. This allows retailers to analyse large amounts of data and make the best business decisions. Data collected for mobile analytics generally includes page views, visits, visitors, and countries, whereas retail analytics solutions use predictive analytics to enable retailers to develop strategies for their operations, including product categorization, pricing, marketing, management inventory level, visibility, etc. through which the possibilities of return-on-investment increase.
With the increase in smartphone users, the market has generated significant turnover. Real-time accessibility of information on multi-mobile platforms drives the mobile BI market, and its growth is expected to increase further during the forecast period.
The data engineering platform can transform customer data sources in the store into a significant competitive advantage for retailers. Stores receive signals from mobile devices near their neighbourhood, and when the mobile user activates Wi-Fi or Bluetooth, stores can obtain the user's individually assigned IP address. With this unique address, retail stores can know how many customers are in the store and who is nearby. For instance, MixPanel tools provide a mobile web analytics solution that analyzes data in real time, with funnel analysis, in-depth analysis, and cohort analysis to track customer retention in the retail industry. Flurry's analysis, primarily based on user acquisition, provides information on active users, session length, frequency, retention, audience personality, and demographics. It also provides information on mobile devices, operators, and firmware versions. Many large companies like Skype, AOL, Google, MTV Networks, Facebook, and others use this tool for their website and application analytics.
The global mobile business intelligence (BI) market has several significant constraints that limit its growth and acceptance. One fundamental difficulty is the concern for data security and privacy. As enterprises increasingly rely on mobile BI solutions to access and analyze essential business data while on the road, the danger of data breaches and unauthorized access becomes more critical. Ensuring the privacy of the information shared and processed via mobile BI systems is critical for fostering confidence between users and companies.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2029 |
Base Year |
2023 |
Forecast Period |
2024 to 2029 |
CAGR |
22.2% |
Segments Covered |
By Application, Industry, Component, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
IBM Corporation (US), SAP SE (Germany), Microsoft Corporation (US), Oracle Corporation (US), Micro Strategy (US), SAS Institute (US), Tableau Software (US), Information Builders (US), TIBCO Software (US), Yellowfin International Pty Ltd. (USA), Qlik and Others. |
North America is an essential player in developing and implementing new technologies. It has new companies focused on big business analytics and data analytics with a strong supremacy in the ICT industry due to the presence of big companies like Apple, Facebook, IBM, and Google. Additionally, North America is ranked as the top contributor to the mobile analytics market due to its technological acceptability and higher level of consumer usage than other developed markets.
Key players in the Global Mobile Business Intelligence (BI) Market report include IBM Corporation (US), SAP SE (Germany), Microsoft Corporation (US), Oracle Corporation (US), Micro Strategy (US), SAS Institute (US), Tableau Software (US), Information Builders (US), TIBCO Software (US), Yellowfin International Pty Ltd. (USA), Qlik and Others
By Application
Fraud and Security Management
Sales and Marketing Management
Predictive Asset Maintenance
Management of Risk and Compliance
Supply Chain Management and Operations
By Industry
BFSI
IT and Telecommunications
Health and Life Sciences
Government and Defense
Energy and Utilities
Media and Entertainment
Others (manufacturing, education, transport, and logistics).
By Component
Software
Services
By Region
North America
Europe
Asia Pacific
Latin America
Middle East and Africa
Frequently Asked Questions
As of the latest report, the Global Mobile BI Market is valued at USD 17.27 billion in 2024.
Key drivers include the increasing adoption of smartphones, rising demand for real-time data analytics, and the growing trend of remote work.
The market is projected to grow at a CAGR of 22.20% from 2024 to 2029.
The finance and healthcare sectors exhibit higher adoption rates compared to other verticals due to their data-intensive nature.
The integration of AI and machine learning for advanced analytics, and the emphasis on user-friendly interfaces are key trends.
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